电力设备健康管理知识图谱:基本概念、关键技术及研究进展

知识图谱具有良好的知识表达能力和解释性,是人工智能领域的一个重要分支,将其应用于电力设备健康管理,可有效整合设备全生命周期的数据,形成以知识为导向的新型运维管理模式。首先,文中系统地梳理了开放领域知识图谱构建方法,针对其中的关键技术和难点问题进行了详细阐述,并结合电力设备健康管理知识图谱的特点,论述了知识图谱的构建过程;然后,结合现有工作,明确了知识图谱在电力设备健康管理中的应用场景,并分析了当前健康管理领域对知识图谱技术的需求;最后,对未来知识图谱在能源电力设备健康管理中的应用前景做了展望。

Knowledge Graph of Power Equipment Health Management:Basic Concepts,Key Technologies and Research Progress

Knowledge graph has good knowledge expression ability and interpretability.It is an important branch in the field of artificial intelligence.Its application in power equipment health management can effectively integrate the data of the whole life cycle of equipment and form a new knowledge-oriented operation and maintenance management mode.Firstly,this paper systematically combs the construction methods of open domain knowledge graph,expounds the key technologies and difficult problems in detail,and discusses the construction process of knowledge graph combined with the characteristics of power equipment health management knowledge graph.Then,combined with the existing work,the application scenarios of knowledge graph in power equipment health management are clarified,and the demand for knowledge map technology in the field of health management is analyzed.Finally,the applications of knowledge graph in energy and power equipment health management in the future are prospected.